The invention relates to the technical field of
photovoltaic power generation, and discloses a
photovoltaic power generation efficiency management intelligent optimization method, which comprises
environmental data acquisition and illumination prediction, photovoltaic panel angle intelligent optimization, temperature adjustment and heat dissipation optimization and
maximum power point tracking. Firstly, environment data are collected, and the illumination intensity at the next moment is predicted through an illumination prediction function; then, based on the predicted illumination intensity, the angle of the photovoltaic panel is optimized through an intelligent
algorithm to minimize the illumination error. Thirdly, designing a temperature change and
cooling power regulation function, optimizing a photovoltaic panel heat dissipation
system, and ensuring that the temperature is within the optimal
working range; and finally, the input
voltage, current and power information of the
inverter are utilized, and the input
voltage of the
inverter is adjusted in real time through a
maximum power point tracking algorithm, so that optimal
power output is realized. According to the method, the efficiency and the stability of the
photovoltaic power generation system are comprehensively improved through environment
data analysis and an intelligent optimization technology.